AI agents that do real work, in production.
We build AI agents that triage, decide, route and act inside your existing tools, not chatbots that talk but can't do anything. Reliable enough to run unattended, observable enough to trust, and designed around what autonomous systems can actually handle. We're agent-first by conviction, not because it's the trend.
Book a call- trigger New ticket received
- classify Intent: refund · confidence 0.94
- decide Within policy · auto-approvable
- act Payments API called · refund issued
- guardrail Amount > €500 → human required
The problem
Most "AI solutions" are demos that die in staging. They look impressive in a slide deck, then break the moment they touch real data, edge cases and real workflows. Or worse, they're a chatbot bolted onto an old product that can read but can't act. The result is AI that costs money and changes nothing.
What we build
AI Agents & Automation
Agents that take action: creating records, routing tasks, triggering workflows, calling your APIs.
Triage and classification agents that handle the repetitive decisions before they reach a person.
Multi-step agents with guardrails, retries and human-in-the-loop checkpoints.
Observability and logging so you can see what every agent did and why.
Evaluation harnesses so behaviour is measured, not assumed, before anything goes live.
Anatomy of an agent
We've shipped agents into production, including in finance and treasury, where the bar for reliability is unforgiving. That discipline carries into every agent we build: we design for failure modes, not just the happy path, and we make sure a human can always understand and override what the system does.
How we work
- 01 Find the toilWe identify the repetitive, rules-heavy work that's worth handing to an agent.
- 02 Design the boundariesWhat the agent decides, what it escalates, and the guardrails around it.
- 03 Build, measure, deployProduction-grade, evaluated against real cases, monitored in the wild.